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Gaussian Processes and Bayesian Inference

Gaussian Processes and Bayesian Inference

49 faculty research Gaussian Processes and Bayesian Inference on GradNova.

H
Henry Chai

Lecturer III, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Data Stream Mining Techniques
Data Visualization and Analytics
Gaussian Processes and Bayesian Inference
Machine Learning and Algorithms
+1
T
Advanced Image Fusion Techniques
EEG and Brain-Computer Interfaces
Gaussian Processes and Bayesian Inference
Remote-Sensing Image Classification
+1
R
Bayesian Modeling and Causal Inference
Gaussian Processes and Bayesian Inference
Model Reduction and Neural Networks
Probabilistic and Robust Engineering Design
+1
A
Gaussian Processes and Bayesian Inference
Generative Adversarial Networks and Image Synthesis
Reservoir Engineering and Simulation Methods
Seismic Imaging and Inversion Techniques
+1
E
Advanced Image and Video Retrieval Techniques
Advanced Vision and Imaging
Bayesian Methods and Mixture Models
Bayesian Modeling and Causal Inference
+1
S
Stephan Mandt

Professor, HPI Co-Director and AISI Associate Director

Computer Science

University of California, Irvine

Anomaly Detection Techniques and Applications
Gaussian Processes and Bayesian Inference
Generative Adversarial Networks and Image Synthesis
Meteorological Phenomena and Simulations
+1
A
Bayesian Modeling and Causal Inference
Distributed Sensor Networks and Detection Algorithms
Error Correcting Code Techniques
Gaussian Processes and Bayesian Inference
+1
A
Artificial Intelligence (ai)
Scientific Computing (sci)
Machine Learning in Materials Science
Model Reduction and Neural Networks
+3
G
Amltn
Caida
Machine Learning
Gaussian Processes and Bayesian Inference
+4
T
Bayesian Methods and Mixture Models
Gaussian Processes and Bayesian Inference
Markov Chains and Monte Carlo Methods
Statistical Methods and Bayesian Inference
+1
M
Inflammatory Myopathies and Dermatomyositis
Systemic Lupus Erythematosus Research
Vasculitis and Related Conditions
Machine Learning and Algorithms
+4
F
Artificial Intelligence & Machine Learning
Programming Languages
Statistical & Theoretical Machine Learning
Gaussian Processes and Bayesian Inference
+4
M
Clinical Informatics: Electronic Health Record Analysis
Machine Learning: Probabilistic Models, Bayesian Inference, Variational Methods, Time-Series Analysis, Semi-Supervised Learning
Machine Learning in Healthcare
Metal Complexes Synthesis and Properties
+3
E
Emily Fox

Professor of Statistics and of Computer Science

Computer Science

Stanford University

Congenital Diaphragmatic Hernia Studies
Congenital Heart Defects Research
Mesenchymal Stem Cell Research
Neonatal Respiratory Health Research
+6
A
Computational Biology
Machine Learning
Natural Language Processing
Machine Learning in Materials Science
+4
R
Machine Learning
Gaussian Processes and Bayesian Inference
Bayesian Methods and Mixture Models
Machine Learning and Algorithms
+2
E
Machine Learning
Gaussian Processes and Bayesian Inference
Topic Modeling
Natural Language Processing Techniques
+2
E
Elizabeth Qian

Assistant Professor, Joint with the Daniel…

College of Computing

Georgia Institute of Technology

Advanced Multi-Objective Optimization Algorithms
Advanced Numerical Methods in Computational Mathematics
Gaussian Processes and Bayesian Inference
Model Reduction and Neural Networks
+1
D
Bayesian Analysis
Machine Learning
Scientific Computing
Spatial Analysis or Spatial Statistics
+6
D
David Blei

Professor, Joint with Statistics

Computer Science

Columbia University

Scalable Bayesian Computation
Statistical Machine Learning
Topic Models
Bayesian Methods and Mixture Models
+4
S
Advanced Optimization Algorithms Research
Gaussian Processes and Bayesian Inference
Model Reduction and Neural Networks
Sparse and Compressive Sensing Techniques
+1
A
Gaussian Processes and Bayesian Inference
Machine Learning and Algorithms
Model Reduction and Neural Networks
Natural Language Processing Techniques
+1
J
Artificial Intelligence in Games
Machine Learning and Algorithms
Reinforcement Learning in Robotics
Gaussian Processes and Bayesian Inference
+2
B
Antimicrobial Peptides and Activities
Machine Learning in Bioinformatics
Vaccines and Immunoinformatics Approaches
Statistical Methods and Inference
+4
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